Change detection in synthetic aperture radar images based on unsupervised artificial immune systems

Applied Soft Computing Journal

Volumn 34, Issue , 2015, Pages 151-163

  Liu, Jia ^a   Gong, Maoguo ^a   Miao, Qiguang ^a   Su, Linzhi ^a   Li, Hao ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Artificial immune system; Image change detection; Synthetic aperture radar

Indexed keywords

ANTIGENS; CLUSTERING ALGORITHMS; IMMUNE SYSTEM; RADAR; SIGNAL DETECTION; SPECKLE; SYNTHETIC APERTURE RADAR; TRACKING RADAR;

ARTIFICIAL IMMUNE SYSTEM; DIFFERENCE IMAGES; FUZZY MEMBERSHIP; FUZZY STRATEGIES; IMAGE CHANGE DETECTION; IMMUNOLOGICAL PROPERTIES; LOCAL INFORMATION; MULTI-TEMPORAL IMAGE;

RADAR IMAGING;

EID: 84929623448     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.05.003     Document Type: Article

References (29)

1. R.J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam Image change detection algorithms: a systematic survey IEEE Trans. Image Process. 14 March (3) 2005 294 307
2. M. Gong, Z. Zhou, and J. Ma Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering IEEE Trans. Image Process. 21 4 2012 2141 2151
3. M. Gong, L. Su, M. Jia, and W. Chen Fuzzy clustering with modified MRF energy function for change detection in synthetic aperture radar images IEEE Trans. Fuzzy Syst. 22 February (1) 2013 98 109
4. G. Pajares A hopfield neural network for image change detection IEEE Trans. Neural Netw. 17 September (5) 2006 1250
5. A.A. Nielsen The regularized iteratively reweighted MAD method for change detection in multi-and hyperspectral data IEEE Trans. Image Process. 16 2 2007 Feb. 463 478
6. S. Marchesi, F. Bovolo, and L. Bruzzone A context-sensitive technique robust to registration noise for change detection in VHR multispectral images IEEE Trans. Image Process. 19 July (7) 2010 1877 1889
7. A. Robin, L. Moisan, and L. Hegarat-Mascle An a-contrario approach for subpixel change detection in satellite imagery IEEE Trans. Pattern Anal. Mach. Intell. 32 11 2010 Nov. 1977 1993
8. F. Bujor, E. Trouvé, L. Valet, J.-M. Nicolas, and J.-P. Rudant Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images IEEE Trans. Geosci. Remote Sens. 42 October (10) 2004 2073 2084
9. Y. Bazi, L. Bruzzone, and F. Melgani An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images IEEE Trans. Geosci. Remote Sens. 43 April (4) 2005 874 887
10. J. Inglada, and G. Mercier A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis IEEE Trans. Geosci. Remote Sens. 45 May (5) 2007 1432 1445
11. F. Chatelain, J.-Y. Tourneret, and J. Inglada Change detection in multisensor SAR images using bivariate gamma distributions IEEE Trans. Image Process. 17 March (3) 2008 249 258
12. T. Celik Change detection in satellite images using a genetic algorithm approach IEEE Geosci. Remote Sens. Lett. 7 2 2010 386 390
13. M. Gong, Y. Cao, and Q. Wu A neighborhood-based ratio approach for change detection in SAR images IEEE Geosci. Remote Sens. Lett. 9 2 2012 307 311
14. M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation J. Electron. Imag. 13 January (1) 2004 146 165
15. L.N. de Castro, and J. Timmis Artificial Immune Systems: A New Computational Intelligence Approach 2002 Springer-Verlag Berlin, Germany
16. D. Dasgupta, S. Yu, and F. Nino Recent advances in artificial immune systems: models and applications Appl. Soft Comput. 11 March (2) 2011 1574 1587
17. Z. Ji, and D. Dasgupta Revisiting negative selection algorithms Evol. Comput. 15 May (2) 2007 223 251
18. S. Sarafijanovic, and J.-Y. Le Boudec An artificial immune system approach with secondary response for misbehavior detection in mobile adhoc networks IEEE Trans. Neural Netw. 16 5 2005 Sept. 1076 1087
19. A.A. Freitas, and J. Timmis Revisiting the foundations of artificial immune systems for data mining IEEE Trans. Evol. Comput. 11 August (4) 2007 521 540
20. N. Cruz-Cortés, F. Rodriuez-Henriquez, and C.A. Coello Coello An artificial immune system heuristic for generating short addition chains IEEE Trans. Evol. Comput. 12 February (1) 2008 1 24
21. M. Gong, L. Jiao, H. Du, and L. Bo Multiobjective immune algorithm with nondominated neighbor-based selection Evol. Comput. 16 June (2) 2008 225 255
22. K.C. Tan, C.K. Goh, A. Mamun, and E. Ei An evolutionary artificial immune system for multi-objective optimization Eur. J. Oper. Res. 187 June (2) 2008 371 392
23. K.M. Woldemariam, and G.G. Yen Vaccine-enhanced artificial immune system for multimodal function optimization IEEE Trans. Syst. Man Cybern. B: Cybern. 40 February (1) 2010 218 228
24. L.N. de Castro, and F.J. Von Zuben Learning and optimization using the clonal selection principle IEEE Trans. Evol. Comput. 6 June (3) 2002 239 251
25. Y. Zhong, L. Zhang, B. Huang, and P. Li An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery IEEE Trans. Geosci. Remote Sens. 44 February (2) 2006 420 431
26. P.A.D. Castro, and F.J. Von Zuben Learning ensembles of neural networks by means of a Bayesian artificial immune system IEEE Trans. Neural Netw. 22 February (2) 2011 304 316
27. S. Krinidis, and V. Chatzis A robust fuzzy local information c-means clustering algorithm IEEE Trans. Image Process. 19 May (5) 2010 1328 1337
28. M. Gong, Y. Liang, and J. Shi Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Trans. Image Process. 22 February (2) 2013 573 584
29. J. Cohen A coefficient of agreement for nominal scales Educ. Psychol. Meas. 20 1960 37 46